A conceptual modelling framework for knowledge-level reflection
AI Communications
E´piTalk: generating advisor agents for existing information systems
Journal of Artificial Intelligence in Education
Conceptual linking: ontology-based open hypermedia
Proceedings of the 10th international conference on World Wide Web
Capturing knowledge of user preferences: ontologies in recommender systems
Proceedings of the 1st international conference on Knowledge capture
PVA: a self-adaptive personal view agent system
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient Adaptive-Support Association Rule Mining for Recommender Systems
Data Mining and Knowledge Discovery
User Modeling and User-Adapted Interaction
Understanding and Restructuring Web Sites with ReWeb
IEEE MultiMedia
Integrating User Data and Collaborative Filtering in a Web Recommendation System
Revised Papers from the nternational Workshops OHS-7, SC-3, and AH-3 on Hypermedia: Openness, Structural Awareness, and Adaptivity
Link Augmentation: A Context-Based Approach to Support Adaptive Hypermedia
Revised Papers from the nternational Workshops OHS-7, SC-3, and AH-3 on Hypermedia: Openness, Structural Awareness, and Adaptivity
Web Site Maintenance with Software-Engineering Tools
WSE '01 Proceedings of the 3rd International Workshop on Web Site Evolution (WSE'01)
An Architecture to Support Navigation and Propose Tips within a Dedicated Website
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
User assistance for collaborative knowledge construction
Proceedings of the 21st international conference companion on World Wide Web
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In this paper we propose an approach to enhance the adaptivity of an existing Website by plugging on top of it ("epiphyte approach") a recommender system that displays additional tips and functionalities in a separate window. The recommender system analyzes the way the user browses through the Website according to predefined prototypical ways of using the Website ("models of use") and then proposes information or functionalities that appear useful according to this model of use. Different models of use can be identified, each of them corresponding to a "logical extension" of the original Website. Associating an existing Website with such logical extensions therefore allows enhancing its adaptivity whilst (i) not modifying the original Website and (ii) facilitating the evolution of the adaptive features as this only requires modifying the recommender system. This approach can be used as an alternative and/or in association with other approaches related in the literature.